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Cited by 450

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Coordinating Futures: Toward a Theory of Anticipation

Tavory, Iddo, Eliasoph, Nina·2013·American Journal of Sociology

Abstract

This article presents a theoretical approach for studying the coordination of futures. Building off theories of temporality and action, the authors map three different modes of future making—protentions, trajectories, and temporal landscapes—that actors need to coordinate in order to make sense of action together. Using a wide range of empirical evidence, they then show that these modes of future-coordination are autonomous from each other, so that although they are connected, they can clash or move in disjointed directions in interaction. By focusing on the coordination and disjunctures of those three modes, the authors argue that sociologists can provide a methodological axis of comparison between cases; depict mechanisms through which other theoretical or empirical constructs—such as racism or late modernity—operate; and open a window into the ways in which people organize and coordinate their futures, a topic of inquiry in its own right.

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Crossref · 10.1086/668646

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Metadata

Authors
Tavory, I., & Eliasoph, N.
Venue
American Journal of Sociology
Published
2013-01
Volume
118
Issue
4
Pages
908-942
ISSN
  • 0002-9602 (ISSN-L)
  • 1537-5390
OpenAlex
W2086198908
Cited by
450
References
3
FWCI
40.19
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Coordinating Futures: Toward a Theory of Anticipation. https://app.cochat.ai/papers/10.1086/668646
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Tavory, I., & Eliasoph, N. (2013). Coordinating Futures: Toward a Theory of Anticipation. American Journal of Sociology. https://doi.org/10.1086/668646

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.